Oracle Database 11g: OLAP Essentials

//////Oracle Database 11g: OLAP Essentials

Oracle Database 11g: OLAP Essentials

Course ID: D58832 3 Days Singapore

Oracle Database 11g: OLAP Essentials


This Oracle Database 11g: OLAP Essentials training will teach you how to progressively build an OLAP data model to support a wide range of business intelligence requirements. Expert Oracle University instructors will teach you how to design OLAP cubes to serve as a summary management resource for existing SQL table queries.

Learn To:

  • Design and create an Oracle OLAP data model.
  • Enable query rewrite to OLAP Cube MVs for relational summary management.
  • Easily create OLAP calculations that enrich the analytic content of your data model.
  • Query OLAP data using simple SQL.
  • Implement cube security.
  • Efficiently design cubes for performance and scalability.
  • Create sophisticated reports of OLAP data by using simple SQL queries.

Benefits to You

Taking this course will teach you how to leverage the power of Oracle OLAP by adding rich analytic content to your data model. You’ll develop the skills to create and execute OLAP queries in SQL Developer and Oracle Application Express (APEX). You’ll learn how to implement cube security, including how to authorize access to cube data and methods for scoping user views of data.

Live Virtual Class Format

A Live Virtual Class (LVC) is exclusively for registered students; unregistered individuals may not view an LVC at any time. Registered students must view the class from the country listed in the registration form. Unauthorized recording, copying, or transmission of LVC content may not be made.



  • Database Administrators
  • Business Analysts
  • Data Warehouse Analyst
  • Business Intelligence Developer
  • Data Warehouse Developer
  • Data Warehouse Administrator




Instructor-led / Virtual Instructor-led


  • Basic SQL knowledge
  • A basic understanding of OLAP concepts


  • Describe OLAP concepts and terminology
  • Examine the role of Oracle OLAP within the Oracle BI / DW Platform
  • Design and create OLAP Cubes
  • Enable query rewrite to OLAP Cube MVs for summary management
  • Create OLAP calculated measures
  • Query stored and calculated OLAP data with simple SQL
  • Use ad hoc query and reporting tools against OLAP data
  • Implement cube security
  • Efficiently design cubes for performance and scalability


Module 1: Examining the Role of Oracle OLAP within the Oracle BI / DW Platform

  • Oracle OLAP and the Oracle BI / DW Platform
  • Features of the Oracle OLAP Option
  • Accessing Oracle 11g OLAP data

Module 2: Understanding the Dimensional Model

  • Stored and Calculated Measures
  • Dimensions
  • Hierarchies
  • Levels
  • Attributes

Module 3: Building OLAP Cubes

  • Using the Cube Building Tool
  • Creating Dimensions
  • Designing Cubes
  • Creating Measures
  • Mapping to Source Data
  • Loading Data

Module 4: Examining Cube-Organized Materialized Views (Cube MVs)

  • Benefits of Cube MV Summary Management
  • General Requirements for rewrite to MVs
  • Designing Cube MVs
  • Using Cube MVs

Module 5: Creating Calculated Measures

  • Examining OLAP Calculation Types
  • Using the Calculation Builder
  • Creating Common Business Calculations
  • Creating Custom Calculations

Module 6: Using SQL to Query Oracle OLAP Cubes

  • Understanding Cube Views
  • Querying OLAP Cubes: The Basics
  • Leveraging Cube Summaries
  • Applying Query Filters
  • Joining OLAP and Relational Data

Module 7: Enhancing Analytic Content

  • Creating Cubes with Varying Dimensionality
  • Integrating Measures from Data with Different Dimensionality
  • Creating Forecast Measures Using OLAP DML

Module 8: Using Ad Hoc Query and Reporting Tools Against OLAP Data

  • Exploring OLAP Data Using Oracle Application Express (APEX)
  • Performing Ad Hoc Query of OLAP Data Using Oracle BI Answers
  • Examining Metadata Requirements for BI Tools

Module 9: Implementing Cube Security

  • Understanding Authentication Requirements
  • Authorizing Access to Cube Data
  • Examining User and Object Privileges
  • Examining Methods for Scoping User Views of Data

Module 10: Designing Cubes for Performance and Scalability

  • Objectives of Performant and Scalabile Design
  • Examining how Data is Stored in Oracle Cubes
  • Identifying Cube Features that Impact Performance and Scalability
  • Implementing Design Techniques for Performance and Scalability

Module 11: Examining Performance Tuning

  • Describing How Cubes are Stored
  • Understand Cube Build Processing
  • Examining Balanced Configurations
  • Correcting Performance Bottlenecks

What’s Next

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